Lokomotiv Gomel vs Molodechno-DYuSSh 4: result 1-0 and analysis
2. DivisionRegular Season - 14Kick-off on August 18, 2013 at 03:00 PM (UTC)Stadyen DYuSSh-8, Gomel
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What was the result of Lokomotiv Gomel vs Molodechno-DYuSSh 4?
Lokomotiv Gomel won 1-0 on August 18, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotiv Gomel have 14 wins, 1 draw and 0 defeats; Molodechno-DYuSSh 4 have 3, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2013 | Livadyya(home) | 5-0 | 2. Division |
| Aug 7, 2013 | Baranovichi(home) | 2-1 | 2. Division |
| Aug 4, 2013 | Fc Luch Minsk(home) | 3-2 | 2. Division |
| Jul 14, 2013 | Neman Mosty(home) | 2-2 | 2. Division |
| Jun 30, 2013 | Osipovichy(away) | 1-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2013 | Neman Mosty(away) | 0-3 | 2. Division |
| Jul 21, 2013 | Livadyya(home) | 3-0 | 2. Division |
| Jul 14, 2013 | Osipovichy(away) | 0-0 | 2. Division |
| Jul 7, 2013 | Vitebsk II(home) | 2-1 | 2. Division |
| Jun 30, 2013 | Kobrin(away) | 0-3 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Lokomotiv Gomel win, 0 draws, 0 Molodechno-DYuSSh 4 wins.
| Date | Score | Competition |
|---|---|---|
| May 4, 2013 | Molodechno-DYuSSh 4 0-2 Lokomotiv Gomel | 2. Division |
Last archived meeting: Molodechno-DYuSSh 4 vs Lokomotiv Gomel on May 4, 2013
How many goals should we expect?
Lokomotiv Gomel score 2.7 and concede 0.6 goals per match over their last 15; Molodechno-DYuSSh 4 score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotiv Gomel | 2.7 | 0.6 | 8 | 7/15 | 9/15 |
| Molodechno-DYuSSh 4 | 1.3 | 2.3 | 2 | 6/12 | 8/12 |
Over the last 15 matches in all competitions.
A question about Lokomotiv Gomel vs Molodechno-DYuSSh 4?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy